Triple

T22951923
Position Surface form Disambiguated ID Type / Status
Subject Lennie Hayton E570041 entity
Predicate spouse P13 FINISHED
Object Lena Horne NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lena Horne | Statement: [Lennie Hayton, spouse, Lena Horne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lena Horne
Context triple: [Lennie Hayton, spouse, Lena Horne]
  • A. Lena Horne chosen
    Lena Horne was an acclaimed American singer, actress, and civil rights activist renowned for her work in jazz and popular music as well as her groundbreaking roles in film and television.
  • B. Lorraine Hines
    Lorraine Hines is known as the former spouse of British actor Frazer Hines, who is best recognized for his role in the classic television series "Doctor Who."
  • C. Pearl Bailey
    Pearl Bailey was an acclaimed American singer and actress known for her charismatic stage presence and Tony Award–winning performance in the all-Black Broadway production of "Hello, Dolly!".
  • D. Virginia Bell Horne
    Virginia Bell Horne was the wife of American film and television actor Lloyd Nolan.
  • E. Eva Dandridge
    Eva Dandridge is the strict, no-nonsense older sister whose controlling nature over her siblings’ lives drives the romantic conflict and comedy in the film "Deliver Us from Eva."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a285448190a718734fe933d51a completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.